Imaging in Radiotherapy. (Articolo in rivista)

Type
Label
  • Imaging in Radiotherapy. (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Calandrino R. 1, Del Maschio A. 2, Cattaneo G.M. 1, Castiglioni I. 3 (2009)
    Imaging in Radiotherapy.
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Calandrino R. 1, Del Maschio A. 2, Cattaneo G.M. 1, Castiglioni I. 3 (literal)
Pagina inizio
  • S11 (literal)
Pagina fine
  • S14 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 608 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Proceedings Paper (Suppl. 1) Corresponding author: Dr. R. Calandrino (calandrino.riccardo@hsr.it) IF 2009: 1.317 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1. Università Vita Salute San Raffaele, Sci Inst H S Raffaele, Dept Med Phys, Milan, Italy 2. Univ Vita Salute San Raffaele, Sci Inst H S Raffaele, Dept Radiol, Milan, Italy 3. Sci Inst H S Raffaele, Dept Nucl Med, IBFM CNR, Milan, Italy (literal)
Titolo
  • Imaging in Radiotherapy. (literal)
Abstract
  • The diagnostic methodologies used for the radiotherapy planning have undergone great developments in the last 30 years. Since the 1980s, after the introduction of the CT scanner, the modality for the planning moved beyond the planar 2D assessment to approach a real and more realistic volumetric 3D definition. Consequently the dose distribution, previously obtained by means of an overly simple approximation, became increasingly complex, better tailoring the true shape of the turnout The final. therapeutic improvement has been obtained by a parallel increase in the complexity of the irradiating units: the Linacs for therapy have, in fact, been equipped with a full accessory set capable to modulate the fluence (IMRT) and to check the correct target position continuously during the therapy session (IMRT-ICRT). The multimodal diagnostic approach, which integrates diagnostic information from, images of the patient taken with CT, NMR, PET and US, further improves the data for a biological and topological optimization of the radiotherapy plan and consequently of the dose distribution in the Planning Target Volume. Proteomic and genomic analysis will be the next step in turnout diagnosis. These methods will provide the planners with further information, for a true personalization of the treatment regimen and the assessment of the predictive essays for each turnout and each patient. (literal)
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